Study on demodulation model and peak searching algorithm of fiber Bragg grating

The demodulation of fiber Bragg grating directly affects the measurement result of the sensor, and its parameters are easily disturbed by the environment and noise, thus causing the nonlinear error to reduce the demodulation precision. For the above problems, a tunable f-p filter fiber grating demodulation system with reference channel is designed in this paper. A fiber grating demodulation signal filtering method with limited sampling signal amplitude is proposed. Studied the common peak algorithm adaptability, by adjusting the signal-to-noise ratio(SNR) and wavelength signal sampling resolution two parameter test the algorithm performance, measured by experiment gaussian polynomial fitting for peak error in the SNR decreases remains within 1 pm, and poor in wavelength resolution when still precision is higher than other algorithms, suitable for the wavelength signal demodulation.